Demystifying AI

Course Overview

  • Written by experts
  • Introductory
  • 100% online
  • Video content
  • Multiple choice quiz
  • Approx. 8 hours to complete
  • CPD Accredited Certificate
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About this course

Like in other industries, there has been a growing investment in the use of Artificial Intelligence (AI) and Machine Learning in health care to help solve clinical, research and service provision challenges. With so much information currently available it is hard to know exactly what is meant by all the various terms in the field. This introductory course will help you understand exactly what AI and machine learning are, and importantly what they are not. You will be able to see real life examples where AI has been applied in the healthcare setting and have time to consider where you might interact with it. This module is the perfect starting point to dive into the world of AI within Healthcare.  

Demystifying AI is training for all health care staff. The five core sessions will introduce the basic concepts of AI and big data, what is AI, how it works, how can AI support different areas of care, and ethical and legal considerations of AI technologies. The specialisation modules will include a general clinical specialisation, focusing on the use of AI for improving patient care and making use of clinical data; a radiological specialisation, specifically tailored to radiologists and radiography support staff; and a non-clinical specialisation, tailored to engineers, non-clinical scientists, technical hospital professionals and Managers. 

Key information:  
  • The module is delivered through lectures with interactive quiz elements.  
  • The expected learning time is 8 hours.  
  • There may be the opportunity for live Q and A sessions and you will be emailed about the dates for these sessions once you enrol.  

This module will:  
  • Provide participants with an understanding of what is AI, what it can and cannot do, data requirements and classes of problems that can be tackled with AI technology.  
  • Explain the vocabulary and conceptual definitions of the methods used in AI research providing a common ground for healthcare professionals, data scientists and engineers to better communicate when developing AI applications.   
  • Help participants develop a broad view of the ethical and safety concerns of AI.  
  • Introduce participants to number of case studies where AI has been used with medical images and radiological report data.  

Learning Outcomes:
By the end of the module participants will be able to:  
  • Define what AI and Machine learning are.  
  • List different models of AI and what limitations various models have.  
  • Give examples of how AI can be used in Health care setting  
  • List the ethical challenges of using AI technologies and define the fairness principles that can be used to mitigate this.  
  • Critically appraise challenges of applying AI to healthcare.  

Who this is training for:  
  • Health care professionals and researchers who are interested in developing and applying AI to improve patient care.  
  • Clinical and non clinical researchers who are starting to investigate the use of AI and machine learning in their health care research.  
  • Technical professionals within healthcare who interact with a broad range of people and will interface with AI technology   
  • Any one working in healthcare who is interested in AI and Machine learning, in particular that applied to image data sets.   

Prior learning required:
No prior learning or knowledge is required.  

Technology required:
The module is taught entirely through this platform with no other software or technology required to complete the module. 

For any other questions about this programme please contact innovationscholars@kcl.ac.uk. This training is funded by the UKRI grant MR/V038664/1   

Course authors and designers

Dr Jorge Cardoso

Course Lead
Reader in Artificial Medical Intelligence

Dr Emma Robinson

Course Instructor
Head of Research, Department of Biomedical Computing

Professor Andrew King

Course Instructor
Professor in Medical Image Analysis

Professor Alistair Young

Course Instructor
Professor of Cardiovascular Data Analytics and Artificial Intelligence

Dr Thomas Booth

Course Instructor
Reader in Neuroimaging

Mariana Da Silva

Graduate Teaching Assistant